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Home AI & Sentiment Analysis

A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection

AiNEWS2025 by AiNEWS2025
2026-01-12
in AI & Sentiment Analysis
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A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection
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[Submitted on 7 Jan 2026 (v1), last revised 9 Jan 2026 (this version, v3)]
Authors:Yuechen Jiang, Zhiwei Liu, Yupeng Cao, Yueru He, Ziyang Xu, Chen Xu, Zhiyang Deng, Prayag Tiwari, Xi Chen, Alejandro Lopez-Lira, Jimin Huang, Junichi Tsujii, Sophia Ananiadou

View a PDF of the paper titled All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection, by Yuechen Jiang and 12 other authors

View PDF

Abstract:We introduce RFC Bench, a benchmark for evaluating large language models on financial misinformation under realistic news. RFC Bench operates at the paragraph level and captures the contextual complexity of financial news where meaning emerges from dispersed cues. The benchmark defines two complementary tasks: reference free misinformation detection and comparison based diagnosis using paired original perturbed inputs. Experiments reveal a consistent pattern: performance is substantially stronger when comparative context is available, while reference free settings expose significant weaknesses, including unstable predictions and elevated invalid outputs. These results indicate that current models struggle to maintain coherent belief states without external grounding. By highlighting this gap, RFC Bench provides a structured testbed for studying reference free reasoning and advancing more reliable financial misinformation detection in real world settings.

Submission history

From: Yuechen Jiang [view email]
[v1]
Wed, 7 Jan 2026 18:18:28 UTC (13,082 KB)
[v2]
Thu, 8 Jan 2026 14:39:03 UTC (13,067 KB)
[v3]
Fri, 9 Jan 2026 05:56:48 UTC (13,068 KB)

Source link

#Benchmark #ReferenceFree #Counterfactual #Financial #Misinformation #Detection

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